joostscheffer / uncertainty-propagator Goto Github PK
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License: MIT License
An ipynb widget for propagating and evaluating the uncertainty when evaluating a function.
License: MIT License
Would it be possible to add dependant variables in the propagator. This can be done by for example using an optional correlation matrix on input (doesn't have to be a full matrix only the dependant variables in the set)
While I trust your math skills development would be a lot less prone to errors if you use some test suites to test basic functionality.
The app is very promising but for now only seems only usable in jupyter notebooks. Would it be possible to separate the backend into it's own package (or sub package)? This way it wil also be easier to add for example a QT or command line interfaces.
If I have some spare time I would like to spend some time on these functions (If you want some help)
The code is not that hard to understand when you take the time to read the doc-strings but some example scripts would really help new users to get going. Also, you already have these nice doc-strings, why not use Spinx to generate some nice documentation?
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